Ficha de la Oferta de Empleo

Decision Sciences Team Lead

This position is for a new team within the existing Risk & Compliance Analytics practice at Evalueserve Chile, supporting a leading US retail bank’s mass market segment risk oversight area, which is responsible for independently overseeing the regulatory and operational risk activities within the LOB.This position will lead the specialized surveillance and decision sciences team supporting the Risk Analytics and Monitoring Group at Evalueserve Chile, and will report to the Risk Oversight Group Manager. The risk oversight team will support the build out of a strong risk analytic foundation to identify and aggregate data across transactions, interactions, customers, team members and products for the purposes of supervising and monitoring operational and conduct risk inclusive of sales practice. These capabilities will enable near real-time monitoring and surveillance and provide key metrics, analytics, and reporting to enhance accountability throughout the branch leadership structure.

Responsibilities may include:

• Identify, develop, and implement advanced quantitative models and algorithms to increase proactive detection of risk patterns and trends by researching and testing data to determine those with the most predicative power.• Build and implement advanced quantitative models and algorithms that can be used for specialized surveillance.• Leverage both structured and unstructured data and “Big Data” analytics tools and platforms to implement models using path analysis, graph analysis, iterative analytics and other machine learning techniques.• Build and implement advanced quantitative models and algorithms to proactively identify and isolate relevant emerging risks across processes, products, interactions, transactions and other macro factors.• Leverage data and predictive models to inform and influence the line of business strategic planning team in long-term plan development around sales supervision.• Partner closely with other risk management stakeholders to support Branch Quality Reviews, Compliance Reviews and other activities where advanced modeling would add value. • Leverage advanced risk data analytics and machine learning techniques to identify risk patterns and trends, and provide insights on the effectiveness of Supervision and Oversight programs and processes. • Guide and mentor a team of professionals in executing key operational objectives throughout the group.• Drive team performance and operational excellence through talent management and performance assessments, promoting quality standards, innovation, knowledge sharing, content creation and best practices.• Develop/ Lead /Participate in Evalueserve initiatives related to Mind + Machine projects, innovation, training and development.

• 4+ years of experience in advanced scientific or mathematical field• 3+ years of leadership experience• A master’s degree or higher in a quantitative field such as mathematics, statistics, engineering, physics, economics or computer science.• Strong working knowledge of SAS, R, and SQL• Strong working knowledge of Python• Excellent analytical, critical thinking and problem-solving skills.• Ability to communicate powerfully and prolifically to senior and executive leaders and to simplify complex issues.

Preferred Qualifications:

• 3+ years in a Business or Risk/Compliance Analytics leadership role.• Knowledge of Retail/Consumer Banking products and sales processes.• Prior experience working with risk and/or analytics capabilities. • Prior experience working with advanced analytics capabilities and experience with Big Data capabilities. • Prior experience developing predictive models using Graph Analysis, Bayesian, Path Analysis, Text Analytics, and other AI/Machine Learning techniques.• Prior experience developing and implementing models in Teradata, Hadoop, and Aster environments.• Ability to influence without direct authority, create and manage (while achieving results) large-scale change and influence people at all levels of the organization.• Demonstrated ability to execute effectively in a matrixed organization, and ability to develop partnerships with many business and functional areas.• Demonstrated ability to build and maintain strong credible relationships with key stakeholder groups.• Ability to lead through adversity and adjust to changing priorities.